Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Knohl, A."'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Theresia Yazbeck, Gil Bohrer, Pierre Gentine, Luping Ye, Nicola Arriga, Christian Bernhofer, Peter D. Blanken, Ankur R. Desai, David Durden, Alexander Knohl, Natalia Kowalska, Stefan Metzger, Meelis Mölder, Asko Noormets, Kim Novick, Russell L. Scott, Ladislav Šigut, Kamel Soudani, Masahito Ueyama, Andrej Varlagin
Publikováno v:
Frontiers in Forests and Global Change, Vol 4 (2021)
Solar-Induced Chlorophyll Fluorescence (SIF) can provide key information about the state of photosynthesis and offers the prospect of defining remote sensing-based estimation of Gross Primary Production (GPP). There is strong theoretical support for
Externí odkaz:
https://doaj.org/article/107464dd229b42e7b376461a3368ab28
Autor:
Artika, June, Tania, Salmayenti, Resti, Sugiarto, Yon, Handoko, Stiegler, Christian, Knohl, Alexander
Publikováno v:
Agromet; Jun2023, Vol. 37 Issue 1, p12-20, 9p
Autor:
Zheng Fu, Philippe Ciais, David Makowski, Ana Bastos, Paul C. Stoy, Andreas Ibrom, Alexander Knohl, Mirco Migliavacca, Matthias Cuntz, Ladislav Šigut, Matthias Peichl, Denis Loustau, Tarek S. El‐Madany, Nina Buchmann, Mana Gharun, Ivan Janssens, Christian Markwitz, Thomas Grünwald, Corinna Rebmann, Meelis Mölder, Andrej Varlagin, Ivan Mammarella, Pasi Kolari, Christian Bernhofer, Michal Heliasz, Caroline Vincke, Andrea Pitacco, Edoardo Cremonese, Lenka Foltýnová, Jean‐Pierre Wigneron
Publikováno v:
Fu, Z, Ciais, P, Makowski, D, Bastos, A, Stoy, P C, Ibrom, A, Knohl, A, Migliavacca, M, Cuntz, M, Šigut, L, Peichl, M, Loustau, D, El-Madany, T S, Buchmann, N, Gharun, M, Janssens, I, Markwitz, C, Grünwald, T, Rebmann, C, Mölder, M, Varlagin, A, Mammarella, I, Kolari, P, Bernhofer, C, Heliasz, M, Vincke, C, Pitacco, A, Cremonese, E, Foltýnová, L & Wigneron, JP 2022, ' Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems ', Global Change Biology, vol. 28, no. 6, pp. 2111-2123 . https://doi.org/10.1111/gcb.16050
Global change biology
Global Change Biology, 28 (6)
Global Change Biology
Global Change Biology, 2022, 28 (6), pp.2111-2123. ⟨10.1111/gcb.16050⟩
Global Change Biology, Wiley, In press, ⟨10.1111/gcb.16050⟩
Global change biology
Global Change Biology, 28 (6)
Global Change Biology
Global Change Biology, 2022, 28 (6), pp.2111-2123. ⟨10.1111/gcb.16050⟩
Global Change Biology, Wiley, In press, ⟨10.1111/gcb.16050⟩
Understanding the critical soil moisture (SM) threshold (θcrit) of plant water stress and land surface energy partitioning is a basis to evaluate drought impacts and improve models for predicting future ecosystem condition and climate. Quantifying t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6d5d2159a9b48abdb0c364e81280731
https://orbit.dtu.dk/en/publications/1041ff57-a4c3-4b08-bdbf-bce6d8651912
https://orbit.dtu.dk/en/publications/1041ff57-a4c3-4b08-bdbf-bce6d8651912
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Fu, Zheng1 (AUTHOR) zheng.fu@lsce.ipsl.fr, Ciais, Philippe1 (AUTHOR), Makowski, David2 (AUTHOR), Bastos, Ana3 (AUTHOR), Stoy, Paul C.4 (AUTHOR), Ibrom, Andreas5 (AUTHOR), Knohl, Alexander6 (AUTHOR), Migliavacca, Mirco3 (AUTHOR), Cuntz, Matthias7 (AUTHOR), Šigut, Ladislav8 (AUTHOR), Peichl, Matthias9 (AUTHOR), Loustau, Denis10 (AUTHOR), El‐Madany, Tarek S.3 (AUTHOR), Buchmann, Nina11 (AUTHOR), Gharun, Mana11 (AUTHOR), Janssens, Ivan12 (AUTHOR), Markwitz, Christian6 (AUTHOR), Grünwald, Thomas13 (AUTHOR), Rebmann, Corinna14 (AUTHOR), Mölder, Meelis15 (AUTHOR)
Publikováno v:
Global Change Biology. Mar2022, Vol. 28 Issue 6, p2111-2123. 13p.
Autor:
André Granier, Serge Rambal, Bernard Longdoz, Iolanda Filella, Josep Peñuelas, Alexander Knohl, Manuela Balzarolo, Chao Zhang, Jan Verbesselt, Aleixandre Verger, Zoltán Nagy, M. Mund, Sara Vicca, Achim Zeileis, Mathias Herbst, Krisztina Pintér
Publikováno v:
Scientific Reports (6), . (2016)
Scientific Reports, 6
Scientific Reports
Scientific Reports, Nature Publishing Group, 2016, 6, ⟨10.1038/srep28269⟩
Scientific Reports, 2016, 6, ⟨10.1038/srep28269⟩
Scientific reports
Scientific Reports 6 (2016)
Scientific Reports, 6
Scientific Reports
Scientific Reports, Nature Publishing Group, 2016, 6, ⟨10.1038/srep28269⟩
Scientific Reports, 2016, 6, ⟨10.1038/srep28269⟩
Scientific reports
Scientific Reports 6 (2016)
Severe droughts strongly impact photosynthesis (GPP), and satellite imagery has yet to demonstrate its ability to detect drought effects. Especially changes in vegetation functioning when vegetation state remains unaltered (no browning or defoliation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::460effab4da2cc7b7b2af467224f2b70
http://resolver.sub.uni-goettingen.de/purl?gs-1/13811
http://resolver.sub.uni-goettingen.de/purl?gs-1/13811
Autor:
Carlo Trotta, Sergio Marconi, Ivan Mammarella, Alessio Collalti, Giorgio Matteucci, Ettore D'Andrea, Thomas Grünwald, Yan Zhao, Frenk Berninger, Leonardo Montagnani, Riccardo Valentini, Andreas Ibrom, Alexander Knohl, Monia Santini, Bert Gielen, Alessandro Anav
Publikováno v:
Geoscientific Model Development
Geoscientific Model Development, 2016, 9 (2), pp.479-504. ⟨10.5194/gmd-9-479-2016⟩
Collalti, A, Marconi, S, Ibrom, A, Trotta, C, Anav, A, D'andrea, E, Matteucci, G, Montagnani, L, Gielen, B, Mammarella, I, Grünwald, T, Knohl, A, Berninger, F, Zhao, Y, Valentini, R & Santini, M 2016, ' Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites ', Geoscientific Model Development, vol. 9, no. 2, pp. 479-504 . https://doi.org/10.5194/gmd-9-479-2016
Geoscientific Model Development, European Geosciences Union, 2016, 9 (2), pp.479-504. ⟨10.5194/gmd-9-479-2016⟩
Geoscientific Model Development, Vol 9, Iss 2, Pp 479-504 (2016)
Geoscientific Model Development, 2016, 9 (2), pp.479-504. ⟨10.5194/gmd-9-479-2016⟩
Collalti, A, Marconi, S, Ibrom, A, Trotta, C, Anav, A, D'andrea, E, Matteucci, G, Montagnani, L, Gielen, B, Mammarella, I, Grünwald, T, Knohl, A, Berninger, F, Zhao, Y, Valentini, R & Santini, M 2016, ' Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites ', Geoscientific Model Development, vol. 9, no. 2, pp. 479-504 . https://doi.org/10.5194/gmd-9-479-2016
Geoscientific Model Development, European Geosciences Union, 2016, 9 (2), pp.479-504. ⟨10.5194/gmd-9-479-2016⟩
Geoscientific Model Development, Vol 9, Iss 2, Pp 479-504 (2016)
International audience; This study evaluates the performances of the new version (v.5.1) of 3D-CMCC Forest Ecosystem Model (FEM) in simulating gross primary productivity (GPP), against eddy covariance GPP data for 10 FLUXNET forest sites across Europ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87bbcefc06569f4581f6ab3ac259d817
https://hal.sorbonne-universite.fr/hal-01339057/document
https://hal.sorbonne-universite.fr/hal-01339057/document
Autor:
Gerard Kiely, Alessandro Cescatti, Dan Liu, Serge Rambal, Shuguang Liu, Antonio Raschi, Lutz Merbold, Lorenzo Genesio, Wenjie Dong, Achim Grelle, Michal V. Marek, M. Altaf Arain, Wenwen Cai, Alexander Knohl, Jiquan Chen, Mikko Peltoniemi, Andrej Varlagin, Wenping Yuan, Teodoro Georgiadis, Peter D. Blanken, Jiangzhou Xia, Leonardo Montagnani, Damiano Gianelle, Oleg Panferov, Georg Wohlfahrt
Publikováno v:
Ecological modelling 292 (2014): 1–10. doi:10.1016/j.ecolmodel.2014.08.017
info:cnr-pdr/source/autori:Yuan, WP (Yuan, Wenping)[ 1,2 ] ; Cai, WW (Cai, Wenwen)[ 1,2 ] ; Liu, SG (Liu, Shuguang)[ 3 ] ; Dong, WJ (Dong, Wenjie)[ 1,2 ] ; Chen, JQ (Chen, Jiquan)[ 4,5 ] ; Arain, MA (Arain, M. Altaf)[ 6 ] ; Blanken, PD (Blanken, Peter D.)[ 7 ] ; Cescatti, A (Cescatti, Alessandro)[ 8 ] ; Wohlfahrt, G (Wohlfahrt, Georg)[ 9 ] ; Georgiadis, T (Georgiadis, Teodoro)[ 10 ] ; Genesio, L (Genesio, Lorenzo)[ 11 ] ; Gianelle, D (Gianelle, Damiano)[ 12 ] ; Grelle, A (Grelle, Achim)[ 13 ] ; Kiely, G (Kiely, Gerard)[ 14,15 ] ; Knohl, A (Knohl, Alexander)[ 16 ] ; Liu, D (Liu, Dan)[ 1,2 ] ; Marek, MV (Marek, Michal V.)[ 17 ] ; Merbold, L (Merbold, Lutz)[ 18 ] ; Montagnani, L (Montagnani, Leonardo)[ 19,20 ] ; Panferov, O (Panferov, Oleg)[ 16 ] ; Peltoniemi, M (Peltoniemi, Mikko)[ 21 ] ; Rambal, S (Rambal, Serge)[ 22 ] ; Raschi, A (Raschi, Antonio)[ 11 ] ; Varlagin, A (Varlagin, Andrej)[ 23 ] ; Xia, JZ (Xia, Jiangzhou)[ 1,2/titolo:Vegetation-specific model parameters are not required for estimating gross primary production/doi:10.1016%2Fj.ecolmodel.2014.08.017/rivista:Ecological modelling/anno:2014/pagina_da:1/pagina_a:10/intervallo_pagine:1–10/volume:292
info:cnr-pdr/source/autori:Yuan, WP (Yuan, Wenping)[ 1,2 ] ; Cai, WW (Cai, Wenwen)[ 1,2 ] ; Liu, SG (Liu, Shuguang)[ 3 ] ; Dong, WJ (Dong, Wenjie)[ 1,2 ] ; Chen, JQ (Chen, Jiquan)[ 4,5 ] ; Arain, MA (Arain, M. Altaf)[ 6 ] ; Blanken, PD (Blanken, Peter D.)[ 7 ] ; Cescatti, A (Cescatti, Alessandro)[ 8 ] ; Wohlfahrt, G (Wohlfahrt, Georg)[ 9 ] ; Georgiadis, T (Georgiadis, Teodoro)[ 10 ] ; Genesio, L (Genesio, Lorenzo)[ 11 ] ; Gianelle, D (Gianelle, Damiano)[ 12 ] ; Grelle, A (Grelle, Achim)[ 13 ] ; Kiely, G (Kiely, Gerard)[ 14,15 ] ; Knohl, A (Knohl, Alexander)[ 16 ] ; Liu, D (Liu, Dan)[ 1,2 ] ; Marek, MV (Marek, Michal V.)[ 17 ] ; Merbold, L (Merbold, Lutz)[ 18 ] ; Montagnani, L (Montagnani, Leonardo)[ 19,20 ] ; Panferov, O (Panferov, Oleg)[ 16 ] ; Peltoniemi, M (Peltoniemi, Mikko)[ 21 ] ; Rambal, S (Rambal, Serge)[ 22 ] ; Raschi, A (Raschi, Antonio)[ 11 ] ; Varlagin, A (Varlagin, Andrej)[ 23 ] ; Xia, JZ (Xia, Jiangzhou)[ 1,2/titolo:Vegetation-specific model parameters are not required for estimating gross primary production/doi:10.1016%2Fj.ecolmodel.2014.08.017/rivista:Ecological modelling/anno:2014/pagina_da:1/pagina_a:10/intervallo_pagine:1–10/volume:292
Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c15d7c5ddf94d5605a4c2729e499a9
http://hdl.handle.net/10449/25178
http://hdl.handle.net/10449/25178